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AGIBOT A3, developed with Peking University's SpikePingPong algorithm and a high-frequency pulse camera, autonomously plays table tennis against humans at BAAI 2026, demonstrating faster vision response and high-speed dynamic control for real-world applications like factory collaboration and service robots.
Sony AI's Ace robot defeated professional table tennis player Miyuu Kihara under official ITTF rules, as reported in a Nature paper titled 'Outplaying elite table tennis players with an autonomous robot.'
This paper introduces TT4D, a novel pipeline and large-scale dataset for reconstructing table tennis gameplay in 4D from monocular videos. It features a unique lift-first approach that estimates 3D ball trajectories and spin before time segmentation, enabling robust reconstruction even with occlusions.
Sony AI’s Project Ace system achieves human-level competitive play against professional table-tennis players, detailed in a new Nature paper.